EntroPy: complexity of (EEG) time-series in Python

Stock for Deep Learning and Machine Learning

Deep learning methods for feature selection in gene expression autism data.

An in-depth tutorial on the theory of panorama stitching

Codes for paper <a robust off-line writer identification method>

Cloud-Assisted Multi-View Video Summarization using CNN and Bi-Directional LSTM

[IN PROGRESS] Multimodal feature extraction modules for ease of doing research and reproducibility.

Feature Extraction (Dimensionality Reduction)

Using Disparity Map and Optical Flow info to extract features from the detected objects from maskRCNN.

Problem Statement: Given the tweets from customers about various tech firms who manufacture and sell mobiles, computers, laptops, etc, the task is to identify if the tweets have a negative sentiment towards such companies or products.

Little addon for Feature Detection and Image Tracking using OPENCV 3.4 and openFrameworks

The project addresses automatic detection of microaneurysms (MA) which are first detectable changes in Diabetic Retinopathy (DR). Green channel, being the most contrasted channel, of the color fundus images are considered. The algorithm includes pre-processing, MA candidates detection, features extraction, classification and comparison with ground truth to evaluate the performance of classifier model.

Project in the Durrant Lab at UPitt that wanted to re-use code from a previous neural network ligand-protein interaction software to extract features for ML

Using transfer learning to classify tools for a ColRobot application

Developed an image search and retrieval system based on color, feature and shape.

Time series features creation